ArticleScientific data2025
DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Panoramic Near-Infrared Imaging Device for Peripheral Vascular Mapping.Sensors (Basel, Switzerland) · 2026Article
- Impact of image preprocessing on dermatological OCTA vessel segmentation: a DERMA-OCTA study.Journal of biomedical optics · 2025Article
- Optical Coherence Tomography Angiography (OCTA) Captures Early Micro-Vascular Remodeling in Non-Melanoma Skin Cancer During Superficial Radiotherapy: A Proof-of-Concept Study.Diagnostics (Basel, Switzerland) · 2025Article
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11 authors.
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Abstract
Optical coherence tomography angiography (OCTA) has emerged as a promising tool for non-invasive vascular imaging in dermatology. However, the field lacks standardized methods for processing and analyzing these complex images, as well as sufficient annotated datasets for developing automated analysis tools. We present DERMA-OCTA, the first open-access dermatological OCTA dataset, comprising 330 volumetric scans from 74 subjects with various skin conditions. The dataset contains the original 2D and 3D OCTA acquisitions, as well as versions processed with five different preprocessing methods, and the reference 2D and 3D segmentations. For each version, segmentation labels are provided, generated using the U-Net architecture as 2D and 3D segmentation approaches. By providing high-resolution, annotated OCTA data across a range of skin pathologies, this dataset offers a valuable resource for training deep learning models, benchmarking segmentation algorithms, and facilitating research into non-invasive skin imaging. The DERMA-OCTA dataset is freely downloadable.
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